Ariful Azad

According to our database, Ariful Azad authored at least 81 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

A Scalable Method for Readable Tree Layouts.

Kathryn Gray, Mingwei Li, Abu Reyan Ahmed, Md. Khaledur Rahman, Ariful Azad, Stephen G. Kobourov, Katy Börner

IEEE Trans. Vis. Comput. Graph., February, 2024

Exabiome: Advancing Microbial Science through Exascale Computing.

Steven A. Hofmeyr, Aydin Buluç, Robert Riley, Rob Egan, Oguz Selvitopi, Leonid Oliker, Katherine A. Yelick, Migun Shakya, Brett Youtsey, Ariful Azad

Comput. Sci. Eng., 2024

Parallel Algorithms for Median Consensus Clustering in Complex Networks.

Md Taufique Hussain, Mahantesh Halappanavar, Samrat Chatterjee, Filippo Radicchi, Santo Fortunato, Ariful Azad

CoRR, 2024

GNNShap: Fast and Accurate GNN Explanations using Shapley Values.

Selahattin Akkas, Ariful Azad

CoRR, 2024

iSpLib: A Library for Accelerating Graph Neural Networks using Auto-tuned Sparse Operations.

Md Saidul Hoque Anik, Pranav Badhe, Rohit Gampa, Ariful Azad

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

GNNShap: Scalable and Accurate GNN Explanation using Shapley Values.

Selahattin Akkas, Ariful Azad

Proceedings of the ACM on Web Conference 2024, 2024

Distributed-Memory Parallel Algorithms for Sparse Matrix and Sparse Tall-and-Skinny Matrix Multiplication.

Isuru Ranawaka, Md Taufique Hussain, Charles Block, Gerasimos Gerogiannis, Josep Torrellas, Ariful Azad

Proceedings of the International Conference for High Performance Computing, 2024

Multi-modal Recurrent Graph Neural Networks for Spatiotemporal Forecasting.

Nicholas Majeske, Ariful Azad

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

Scalable Node Embedding Algorithms Using Distributed Sparse Matrix Operations.

Isuru Ranawaka, Ariful Azad

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

Two-Face: Combining Collective and One-Sided Communication for Efficient Distributed SpMM.

Charles Block, Gerasimos Gerogiannis, Charith Mendis, Ariful Azad, Josep Torrellas

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023

22nd International Workshop on Data Mining in Bioinformatics (BIOKDD 2023).

Da Yan, Ariful Azad, Jie Hou, Jake Y. Chen, Mohammed J. Zaki

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Distributed Sparse Random Projection Trees for Constructing K-Nearest Neighbor Graphs.

Isuru Ranawaka, Md. Khaledur Rahman, Ariful Azad

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

Parallel Algorithms for Computing Jaccard Weights on Graphs using Linear Algebra.

Elaheh Hassani, Md Taufique Hussain, Ariful Azad

Proceedings of the IEEE High Performance Extreme Computing Conference, 2023

2022

Combinatorial BLAS 2.0: Scaling Combinatorial Algorithms on Distributed-Memory Systems.

Ariful Azad, Oguz Selvitopi, Md Taufique Hussain, John R. Gilbert, Aydin Buluç

IEEE Trans. Parallel Distributed Syst., 2022

Scalable force-directed graph representation learning and visualization.

Md. Khaledur Rahman, Majedul Haque Sujon, Ariful Azad

Knowl. Inf. Syst., 2022

Inductive predictions of hydrologic events using a Long Short-Term Memory network and the Soil and Water Assessment Tool.

Nicholas Majeske, Xuesong Zhang, McKailey Sabaj, Lei Gong, Chen Zhu, Ariful Azad

Environ. Model. Softw., 2022

Triple Sparsification of Graph Convolutional Networks without Sacrificing the Accuracy.

Md. Khaledur Rahman, Ariful Azad

CoRR, 2022

Graphical Games for UAV Swarm Control Under Time-Varying Communication Networks.

Malintha Fernando, Ransalu Senanayake, Ariful Azad, Martin Swany

CoRR, 2022

MarkovGNN: Graph Neural Networks on Markov Diffusion.

Md. Khaledur Rahman, Abhigya Agrawal, Ariful Azad

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

JGCL: Joint Self-Supervised and Supervised Graph Contrastive Learning.

Selahattin Akkas, Ariful Azad

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Extreme-Scale Many-against-Many Protein Similarity Search.

Oguz Selvitopi, Saliya Ekanayake, Giulia Guidi, Muaaz G. Awan, Georgios A. Pavlopoulos, Ariful Azad, Nikos Kyrpides, Leonid Oliker, Katherine A. Yelick, Aydin Buluç

Proceedings of the SC22: International Conference for High Performance Computing, 2022

Parallel Algorithms for Adding a Collection of Sparse Matrices.

Md Taufique Hussain, Guttu Sai Abhishek, Aydin Buluç, Ariful Azad

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

Supervised pretraining through contrastive categorical positive samplings to improve COVID-19 mortality prediction.

Tingyi Wanyan, Mingquan Lin, Eyal Klang, Kartikeya M. Menon, Faris F. Gulamali, Ariful Azad, Yiye Zhang, Ying Ding, Zhangyang Wang, Fei Wang, Benjamin S. Glicksberg, Yifan Peng

Proceedings of the BCB '22: 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, Northbrook, Illinois, USA, August 7, 2022

2021

Relational Learning Improves Prediction of Mortality in COVID-19 in the Intensive Care Unit.

Tingyi Wanyan, Akhil Vaid, Jessica K. De Freitas, Sulaiman Somani, Riccardo Miotto, Girish N. Nadkarni, Ariful Azad, Ying Ding, Benjamin S. Glicksberg

IEEE Trans. Big Data, 2021

Contrastive learning improves critical event prediction in COVID-19 patients.

Tingyi Wanyan, Hossein Honarvar, Suraj K. Jaladanki, Chengxi Zang, Nidhi Naik, Sulaiman Somani, Jessica K. De Freitas, Ishan Paranjpe, Akhil Vaid, Jing Zhang, Riccardo Miotto, Zhangyang Wang, Girish N. Nadkarni, Marinka Zitnik, Ariful Azad, Fei Wang, Ying Ding, Benjamin S. Glicksberg

Patterns, 2021

EXAGRAPH: Graph and combinatorial methods for enabling exascale applications.

Seher Acer, Ariful Azad, Erik G. Boman, Aydin Buluç, Karen D. Devine, S. M. Ferdous, Nitin Gawande, Sayan Ghosh, Mahantesh Halappanavar, Ananth Kalyanaraman, Arif Khan, Marco Minutoli, Alex Pothen, Sivasankaran Rajamanickam, Oguz Selvitopi, Nathan R. Tallent, Antonino Tumeo

Int. J. High Perform. Comput. Appl., 2021

Deep Learning with Heterogeneous Graph Embeddings for Mortality Prediction from Electronic Health Records.

Tingyi Wanyan, Hossein Honarvar, Ariful Azad, Ying Ding, Benjamin S. Glicksberg

Data Intell., 2021

A Comprehensive Analytical Survey on Unsupervised and Semi-Supervised Graph Representation Learning Methods.

Md. Khaledur Rahman, Ariful Azad

CoRR, 2021

Inductive Predictions of Extreme Hydrologic Events in The Wabash River Watershed.

Nicholas Majeske, Bidisha Abesh, Chen Zhu, Ariful Azad

CoRR, 2021

Bootstrapping Your Own Positive Sample: Contrastive Learning With Electronic Health Record Data.

Tingyi Wanyan, Jing Zhang, Ying Ding, Ariful Azad, Zhangyang Wang, Benjamin S. Glicksberg

CoRR, 2021

Contrastive Learning Improves Critical Event Prediction in COVID-19 Patients.

Tingyi Wanyan, Hossein Honarvar, Suraj K. Jaladanki, Chengxi Zang, Nidhi Naik, Sulaiman Somani, Jessica K. De Freitas, Ishan Paranjpe, Akhil Vaid, Riccardo Miotto, Girish N. Nadkarni, Marinka Zitnik, Ariful Azad, Fei Wang, Ying Ding, Benjamin S. Glicksberg

CoRR, 2021

FusedMM: A Unified SDDMM-SpMM Kernel for Graph Embedding and Graph Neural Networks.

Md. Khaledur Rahman, Majedul Haque Sujon, Ariful Azad

Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

Communication-Avoiding and Memory-Constrained Sparse Matrix-Matrix Multiplication at Extreme Scale.

Md Taufique Hussain, Oguz Selvitopi, Aydin Buluç, Ariful Azad

Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

Incremental Clustering Algorithms for Massive Dynamic Graphs.

Johannes Langguth, Aigars Tumanis, Ariful Azad

Proceedings of the 2021 International Conference on Data Mining, 2021

GNNfam: utilizing sparsity in protein family predictions using graph neural networks.

Anuj Godase, Md. Khaledur Rahman, Ariful Azad

Proceedings of the BCB '21: 12th ACM International Conference on Bioinformatics, 2021

2020

A Distributed-Memory Algorithm for Computing a Heavy-Weight Perfect Matching on Bipartite Graphs.

Ariful Azad, Aydin Buluç, Xiaoye S. Li, Xinliang Wang, Johannes Langguth

SIAM J. Sci. Comput., 2020

Parallel algorithms for finding connected components using linear algebra.

Yongzhe Zhang, Ariful Azad, Aydin Buluç

J. Parallel Distributed Comput., 2020

SubGraph2Vec: Highly-Vectorized Tree-likeSubgraph Counting.

Langshi Chen, Jiayu Li, Ariful Azad, S. Cenk Sahinalp, Madhav V. Marathe, Anil Vullikanti, Andrey Nikolaev, Egor Smirnov, Ruslan Israfilov, Judy Qiu

CoRR, 2020

Attribute2vec: Deep Network Embedding Through Multi-Filtering GCN.

Tingyi Wanyan, Chenwei Zhang, Ariful Azad, Xiaomin Liang, Daifeng Li, Ying Ding

CoRR, 2020

The Parallelism Motifs of Genomic Data Analysis.

Katherine A. Yelick, Aydin Buluç, Muaaz G. Awan, Ariful Azad, Benjamin Brock, Rob Egan, Saliya Ekanayake, Marquita Ellis, Evangelos Georganas, Giulia Guidi, Steven A. Hofmeyr, Oguz Selvitopi, Cristina Teodoropol, Leonid Oliker

CoRR, 2020

Bandwidth Optimized Parallel Algorithms for Sparse Matrix-Matrix Multiplication using Propagation Blocking.

Zhixiang Gu, Jose Moreira, David Edelsohn, Ariful Azad

Proceedings of the SPAA '20: 32nd ACM Symposium on Parallelism in Algorithms and Architectures, 2020

Distributed many-to-many protein sequence alignment using sparse matrices.

Oguz Selvitopi, Saliya Ekanayake, Giulia Guidi, Georgios A. Pavlopoulos, Ariful Azad, Aydin Buluç

Proceedings of the International Conference for High Performance Computing, 2020

FastSV: A Distributed-Memory Connected Component Algorithm with Fast Convergence.

Yongzhe Zhang, Ariful Azad, Zhenjiang Hu

Proceedings of the 2020 SIAM Conference on Parallel Processing for Scientific Computing, 2020

Optimizing High Performance Markov Clustering for Pre-Exascale Architectures.

Oguz Selvitopi, Md Taufique Hussain, Ariful Azad, Aydin Buluç

Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020

Evaluation of Graph Analytics Frameworks Using the GAP Benchmark Suite.

Ariful Azad, Mohsen Mahmoudi Aznaveh, Scott Beamer, Mark P. Blanco, Jinhao Chen, Luke D'Alessandro, Roshan Dathathri, Timothy A. Davis, Kevin Deweese, Jesun Firoz, Henry A. Gabb, Gurbinder Gill, Bálint Hegyi, Scott P. Kolodziej, Tze Meng Low, Andrew Lumsdaine, Tugsbayasgalan Manlaibaatar, Timothy G. Mattson, Scott McMillan, Ramesh Peri, Keshav Pingali, Upasana Sridhar, Gábor Szárnyas, Yunming Zhang, Yongzhe Zhang

Proceedings of the IEEE International Symposium on Workload Characterization, 2020

Force2Vec: Parallel force-directed graph embedding.

Md. Khaledur Rahman, Majedul Haque Sujon, Ariful Azad

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

BatchLayout: A Batch-Parallel Force-Directed Graph Layout Algorithm in Shared Memory.

Md. Khaledur Rahman, Majedul Haque Sujon, Ariful Azad

Proceedings of the 2020 IEEE Pacific Visualization Symposium, 2020

Heterogeneous Graph Embeddings of Electronic Health Records Improve Critical Care Disease Predictions.

Tingyi Wanyan, Martin Kang, Marcus A. Badgeley, Kipp W. Johnson, Jessica K. De Freitas, Fayzan F. Chaudhry, Akhil Vaid, Shan Zhao, Riccardo Miotto, Girish N. Nadkarni, Fei Wang, Justin F. Rousseau, Ariful Azad, Ying Ding, Benjamin S. Glicksberg

Proceedings of the Artificial Intelligence in Medicine, 2020

2019

Performance optimization, modeling and analysis of sparse matrix-matrix products on multi-core and many-core processors.

Yusuke Nagasaka, Satoshi Matsuoka, Ariful Azad, Aydin Buluç

Parallel Comput., 2019

A GraphBLAS Approach for Subgraph Counting.

Langshi Chen, Jiayu Li, Ariful Azad, Lei Jiang, Madhav V. Marathe, Anil Vullikanti, Andrey Nikolaev, Egor Smirnov, Ruslan Israfilov, Judy Qiu

CoRR, 2019

LACC: A Linear-Algebraic Algorithm for Finding Connected Components in Distributed Memory.

Ariful Azad, Aydin Buluç

Proceedings of the 2019 IEEE International Parallel and Distributed Processing Symposium, 2019

Evaluating the Community Structures from Network Images Using Neural Networks.

Md. Khaledur Rahman, Ariful Azad

Proceedings of the Complex Networks and Their Applications VIII, 2019

2018

A distributed-memory approximation algorithm for maximum weight perfect bipartite matching.

Ariful Azad, Aydin Buluç, Xiaoye S. Li, Xinliang Wang, Johannes Langguth

CoRR, 2018

Integrated Model, Batch, and Domain Parallelism in Training Neural Networks.

Amir Gholami, Ariful Azad, Peter H. Jin, Kurt Keutzer, Aydin Buluç

Proceedings of the 30th on Symposium on Parallelism in Algorithms and Architectures, 2018

High-Performance Sparse Matrix-Matrix Products on Intel KNL and Multicore Architectures.

Yusuke Nagasaka, Satoshi Matsuoka, Ariful Azad, Aydin Buluç

Proceedings of the 47th International Conference on Parallel Processing, 2018

Phenotyping Immune Cells in Tumor and Healthy Tissue Using Flow Cytometry Data.

Ye Chen, Ryan D. Calvert, Ariful Azad, Bartek Rajwa, James Fleet, Timothy Ratliff, Alex Pothen

Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018

Communication-Avoiding Optimization Methods for Distributed Massive-Scale Sparse Inverse Covariance Estimation.

Penporn Koanantakool, Alnur Ali, Ariful Azad, Aydin Buluç, Dmitriy Morozov, Leonid Oliker, Katherine A. Yelick, Sang-Yun Oh

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Computing Maximum Cardinality Matchings in Parallel on Bipartite Graphs via Tree-Grafting.

Ariful Azad, Aydin Buluç, Alex Pothen

IEEE Trans. Parallel Distributed Syst., 2017

Integrated Model and Data Parallelism in Training Neural Networks.

Amir Gholami, Ariful Azad, Kurt Keutzer, Aydin Buluç

CoRR, 2017

Communication-Avoiding Optimization Methods for Massive-Scale Graphical Model Structure Learning.

Penporn Koanantakool, Alnur Ali, Ariful Azad, Aydin Buluç, Dmitriy Morozov, Sang-Yun Oh, Leonid Oliker, Katherine A. Yelick

CoRR, 2017

The Reverse Cuthill-McKee Algorithm in Distributed-Memory.

Ariful Azad, Mathias Jacquelin, Aydin Buluç, Esmond G. Ng

Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium, 2017

Towards a GraphBLAS Library in Chapel.

Ariful Azad, Aydin Buluç

Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017

A Work-Efficient Parallel Sparse Matrix-Sparse Vector Multiplication Algorithm.

Ariful Azad, Aydin Buluç

Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium, 2017

2016

Exploiting Multiple Levels of Parallelism in Sparse Matrix-Matrix Multiplication.

Ariful Azad, Grey Ballard, Aydin Buluç, James Demmel, Laura Grigori, Oded Schwartz, Sivan Toledo, Samuel Williams

SIAM J. Sci. Comput., 2016

A matrix-algebraic formulation of distributed-memory maximal cardinality matching algorithms in bipartite graphs.

Ariful Azad, Aydin Buluç

Parallel Comput., 2016

flowVS: channel-specific variance stabilization in flow cytometry.

Ariful Azad, Bartek Rajwa, Alex Pothen

BMC Bioinform., 2016

Communication-Avoiding Parallel Sparse-Dense Matrix-Matrix Multiplication.

Penporn Koanantakool, Ariful Azad, Aydin Buluç, Dmitriy Morozov, Sang-Yun Oh, Leonid Oliker, Katherine A. Yelick

Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium, 2016

Distributed-Memory Algorithms for Maximum Cardinality Matching in Bipartite Graphs.

Ariful Azad, Aydin Buluç

Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium, 2016

2015

An Algorithmic Pipeline for Analyzing Multi-parametric Flow Cytometry Data.

Ariful Azad

CoRR, 2015

Codesign Lessons Learned from Implementing Graph Matching on Multithreaded Architectures.

Mahantesh Halappanavar, Alex Pothen, Ariful Azad, Fredrik Manne, Johannes Langguth, Arif M. Khan

Computer, 2015

A Parallel Tree Grafting Algorithm for Maximum Cardinality Matching in Bipartite Graphs.

Ariful Azad, Aydin Buluç, Alex Pothen

Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium, 2015

Parallel Triangle Counting and Enumeration Using Matrix Algebra.

Ariful Azad, Aydin Buluç, John R. Gilbert

Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium Workshop, 2015

Distributed-Memory Algorithms for Maximal Cardinality Matching Using Matrix Algebra.

Ariful Azad, Aydin Buluç

Proceedings of the 2015 IEEE International Conference on Cluster Computing, 2015

2014

On parallel push-relabel based algorithms for bipartite maximum matching.

Johannes Langguth, Ariful Azad, Mahantesh Halappanavar, Fredrik Manne

Parallel Comput., 2014

Immunophenotypes of Acute Myeloid Leukemia From Flow Cytometry Data Using Templates.

Ariful Azad, Bartek Rajwa, Alex Pothen

CoRR, 2014

2013

Classifying Immunophenotypes With Templates From Flow Cytometry.

Ariful Azad, Arif M. Khan, Bartek Rajwa, Saumyadipta Pyne, Alex Pothen

Proceedings of the ACM Conference on Bioinformatics, 2013

2012

Matching phosphorylation response patterns of antigen-receptor-stimulated T cells via flow cytometry.

Ariful Azad, Saumyadipta Pyne, Alex Pothen

BMC Bioinform., 2012

Multithreaded Algorithms for Matching in Graphs with Application to Data Analysis in Flow Cytometry.

Ariful Azad, Alex Pothen

Proceedings of the 26th IEEE International Parallel and Distributed Processing Symposium Workshops & PhD Forum, 2012

Multithreaded Algorithms for Maxmum Matching in Bipartite Graphs.

Ariful Azad, Mahantesh Halappanavar, Sivasankaran Rajamanickam, Erik G. Boman, Arif M. Khan, Alex Pothen

Proceedings of the 26th IEEE International Parallel and Distributed Processing Symposium, 2012

2011

Computing maximum matching in parallel on bipartite graphs: worth the effort?

Ariful Azad, Mahantesh Halappanavar, Florin Dobrian, Alex Pothen

Proceedings of the first workshop on Irregular applications: architectures and algorithm, 2011

2010

Identifying Rare Cell Populations in Comparative Flow Cytometry.

Ariful Azad, Johannes Langguth, Youhan Fang, Yuan (Alan) Qi, Alex Pothen

Proceedings of the Algorithms in Bioinformatics, 10th International Workshop, 2010